Article (Scientific journals)
Genetic parameters of mid-infrared methane predictions and their relationships with milk production traits in Holstein cattle
Kandel, Purna; Vanrobays, Marie-Laure; Vanlierde, Amélie et al.
2017In Journal of Dairy Science, 100 (7), p. 5578-5591
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Keywords :
methane; milk; genetic; méthane; lait; génétique
Abstract :
[en] Many countries have pledged to reduce greenhouse gases. In this context, the dairy sector is one of the identified sectors to adapt production circumstances to address socio-environmental constraints due to its large carbon footprint related to CH4 emission. This study aimed mainly to estimate (1) the genetic parameters of 2 milk mid-infrared-based CH4 proxies [predicted daily CH4 emission (PME, g/d), and log-transformed predicted CH4 intensity (LMI)] and (2) their genetic correlations with milk production traits [milk (MY), fat (FY), and protein (PY) yields] from first- and second-parity Holstein cows. A total of 336,126 and 231,400 mid-infrared CH4 phenotypes were collected from 56,957 and 34,992 first- and second-parity cows, respectively. The PME increased from the first to the second lactation (433 vs. 453 g/d) and the LMI decreased (2.93 vs. 2.86). We used 20 bivariate random regression test-day models to estimate the variance components. Moderate heritability values were observed for both CH4 traits, and those values decreased slightly from the first to the second lactation (0.25 ± 0.01 and 0.22 ± 0.01 for PME; 0.18 ± 0.01 and 0.17 ± 0.02 for LMI). Lactation phenotypic and genetic correlations were negative between PME and MY in both first and second lactations (−0.07 vs. −0.07 and −0.19 vs. −0.24, respectively). More close scrutiny revealed that relative increase of PME was lower with high MY levels even reverting to decrease, and therefore explaining the negative correlations, indicating that higher producing cows could be a mitigation option for CH4 emission. The PME phenotypic correlations were almost equal to 0 with FY and PY for both lactations. However, the genetic correlations between PME and FY were slightly positive (0.11 and 0.12), whereas with PY the correlations were slightly negative (−0.05 and −0.04). Both phenotypic and genetic correlations between LMI and MY or PY or FY were always relatively highly negative (from −0.21 to −0.88). As the genetic correlations between PME and LMI were strong (0.71 and 0.72 in first and second lactation), the selection of one trait would also strongly influence the other trait. However, in animal breeding context, PME, as a direct quantity CH4 proxy, would be preferred to LMI, which is a ratio trait of PME with a trait already in the index. The range of PME sire estimated breeding values were 22.1 and 29.41 kg per lactation in first and second parity, respectively. Further studies must be conducted to evaluate the effect of the introduction of PME in a selection index on the other traits already included in this index, such as, for instance, fertility or longevity.
Disciplines :
Genetics & genetic processes
Animal production & animal husbandry
Author, co-author :
Kandel, Purna ;  Université de Liège - ULiège > Gembloux Agro-Bio Tech
Vanrobays, Marie-Laure ;  Université de Liège - ULiège > Doct. sc. agro. & ingé. biol.
Vanlierde, Amélie ;  Université de Liège - ULiège > Doct. sc. agro. & ingé. biol.
Dehareng, Frédéric  ;  Centre wallon de recherches agronomiques - CRA-W
Froidmont, Eric;  Centre wallon de recherches agronomiques - CRA-W
Gengler, Nicolas  ;  Université de Liège - ULiège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Ingénierie des productions animales et nutrition
Soyeurt, Hélène  ;  Université de Liège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Modélisation et développement
Language :
English
Title :
Genetic parameters of mid-infrared methane predictions and their relationships with milk production traits in Holstein cattle
Alternative titles :
[en] Paramètres génétiques des prédictions de méthane prédites par moyen infrarouge et leurs relations avec les caractères laitiers dans la population Holstein
Publication date :
June 2017
Journal title :
Journal of Dairy Science
ISSN :
0022-0302
eISSN :
1525-3198
Publisher :
American Dairy Science Association, Champaign, United States - Illinois
Volume :
100
Issue :
7
Pages :
5578-5591
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 15 June 2017

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